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Studies in Computational Intelligence

Intelligent Computational Optimization in Engineering

Techniques & Applications

Editors: Koeppen, Mario, Schaefer, Gerald, Abraham, Ajith (Eds.)

  • Reports recent research results on intelligent computational optimization techniques in engineering
  • Written by leading experts in this field
  • State-of-the-Art book
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eBook $189.00
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  • ISBN 978-3-642-21705-0
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  • Immediate eBook download after purchase
Hardcover $239.00
price for USA
  • ISBN 978-3-642-21704-3
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
Softcover $239.00
price for USA
  • ISBN 978-3-642-26940-0
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
Rent the ebook  
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About this book

We often come across computational optimization virtually in all branches of engineering and industry. Many engineering problems involve heuristic search and optimization, and, once discretized, may become combinatorial in nature, which gives rise to certain difficulties in terms of solution procedure. Some of these problems have enormous search spaces, are NP-hard and hence require heuristic solution techniques. Another difficulty is the lack of ability of classical solution techniques to determine appropriate optima of non-convex problems. Under these conditions, recent advances in computational optimization techniques have been shown to be advantageous and successful compared to classical approaches.

 

This Volume presents some of the latest developments with a focus on the design of algorithms for computational optimization and their applications in practice. Through the chapters of this book, researchers and practitioners share their experience and newest methodologies with regard to intelligent optimization and provide various case studies of the application of intelligent optimization techniques in real-world applications.This book can serve as an excellent reference for researchers and graduate students in computer science, various engineering disciplines and the industry.

Table of contents (13 chapters)

  • Intelligent Computational Optimization in Engineering: Techniques and Applications

    Nolle, Lars (et al.)

    Pages 1-24

  • Learning Automata in Control Planning Strategies

    Cuevas, Erik (et al.)

    Pages 27-54

  • Optimization Strategies for Restricted Candidate Lists in Field Service Scheduling

    Žerdin, Marko (et al.)

    Pages 55-83

  • Framework for Integrating Optimization and Heuristic Models for Solving Planning and Scheduling Problem in a Resin Manufacturing Plant

    Omar, Mohamed K. (et al.)

    Pages 85-107

  • Evolutionary Algorithms in the Optimal Sizing of Analog Circuits

    Tlelo-Cuautle, Esteban (et al.)

    Pages 109-138

Buy this book

eBook $189.00
price for USA
  • ISBN 978-3-642-21705-0
  • Digitally watermarked, DRM-free
  • Included format: PDF
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Hardcover $239.00
price for USA
  • ISBN 978-3-642-21704-3
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
Softcover $239.00
price for USA
  • ISBN 978-3-642-26940-0
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
Rent the ebook  
  • Rental duration: 1 or 6 month
  • low-cost access
  • online reader with highlighting and note-making option
  • can be used across all devices
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Bibliographic Information

Bibliographic Information
Book Title
Intelligent Computational Optimization in Engineering
Book Subtitle
Techniques & Applications
Editors
  • Mario Koeppen
  • Gerald Schaefer
  • Ajith Abraham
Series Title
Studies in Computational Intelligence
Series Volume
366
Copyright
2011
Publisher
Springer-Verlag Berlin Heidelberg
Copyright Holder
Springer-Verlag Berlin Heidelberg
eBook ISBN
978-3-642-21705-0
DOI
10.1007/978-3-642-21705-0
Hardcover ISBN
978-3-642-21704-3
Softcover ISBN
978-3-642-26940-0
Series ISSN
1860-949X
Edition Number
1
Number of Pages
XII, 400
Topics